Title of article :
An industrial perspective on implementing on-line applications of multivariate statistics
Author/Authors :
I. Miletic، نويسنده , , S. Quinn، نويسنده , , M. Dudzic، نويسنده , , V. Vaculik and M. Champagne، نويسنده ,
Pages :
16
From page :
821
To page :
836
Abstract :
Multivariate statistics (MVS) has enjoyed popularity in the applied science literature over the last decade. It has also been well received by industrial practitioners; however, industrial applications have had mixed results. In this paper, we focus on our experiences in developing multivariate statistical systems for industrial use. From these experiences, we identify a methodology for developing useful, long-standing industrial applications. We highlight features we feel are important in the successful development of on-line MVS applications, both technical and non-technical. Specifically, we focus on on-line systems for manufacturing environments. Many of the applications discussed grew out of industry-university collaborations. To end the paper, we recommend topics open for further academic research with an industrial focus.
Keywords :
Principal component analysis , Partial least squares , Correlation , Fault detection , process operation , Steel manufacturing , Pulp and paper production , Regression
Journal title :
Astroparticle Physics
Record number :
401431
Link To Document :
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